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Related Experiment Video

Updated: Dec 3, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Published on: December 3, 2013

Camera-free three-dimensional dual photography.

Patrick Kilcullen, Cheng Jiang, Tsuneyuki Ozaki

|October 29, 2020

Summary

This summary is machine-generated.

This study introduces camera-free 3D dual photography, enabling simultaneous 3D surface and light transport sensing. This innovation allows for 3D image viewing and relighting from novel perspectives.

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Area of Science:

Optics and Photonics
Computer Vision
Computational Imaging

Background:

Dual photography captures scene appearance and geometry.
Fringe projection profilometry (FPP) reconstructs 3D surface shapes.
Integrating these methods traditionally requires complex setups.

Purpose of the Study:

To develop a camera-free method for simultaneous 3D shape and appearance capture.
To enable novel 3D image manipulation techniques like relighting and viewpoint changes.
To extend the capabilities of dual photography beyond its conventional scope.

Main Methods:

Implemented coordinate mapping to link FPP and dual photography principles.
Developed a single-pixel imaging system using two digital micromirror devices (DMDs).
Utilized binary cyclic S-matrix and sinusoidal fringe patterns for scene encoding and virtual fringe projection.

Main Results:

Successfully demonstrated simultaneous sensing of the light transport matrix's direct component and 3D object surface profiles.
Achieved camera-free 3D dual photography.
Enabled viewing and relighting of 3D images from user-selectable perspectives by exploiting Helmholtz reciprocity.

Conclusions:

The proposed method successfully integrates 3D shape and appearance capture without a traditional camera.
This work advances dual photography by enabling dynamic 3D scene manipulation and relighting.
The developed system offers a novel approach to computational imaging with extended capabilities.